OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Deep Spatial-Temporal Feature Extraction and Lightweight Feature Fusion for Tool Condition Monitoring
Yufeng Li, Shilong Wang, He Yan, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 7, pp. 7349-7359
Closed Access | Times Cited: 50

Showing 26-50 of 50 citing articles:

On-line milling tool wear monitoring under practical machining conditions
Jigang He, Yi Sun, Hongli Gao, et al.
Measurement (2023) Vol. 222, pp. 113621-113621
Closed Access | Times Cited: 9

Gaussian mixture model for tool condition monitoring
Debasish Mishra, Krishna R. Pattipati, George M. Bollas
Journal of Manufacturing Processes (2024) Vol. 131, pp. 1001-1013
Closed Access | Times Cited: 3

An innovative Multisource Lightweight Adaptive Replayed Online Deep Transfer Learning algorithm for tool wear monitoring
Zhilie Gao, Ni Chen, Yinfei Yang, et al.
Journal of Manufacturing Processes (2024) Vol. 124, pp. 261-281
Closed Access | Times Cited: 2

Sensor-based intelligent tool online monitoring technology: applications and progress
Jiashuai Huang, Guangjun Chen, Hong Wei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 112001-112001
Closed Access | Times Cited: 2

Decision Fusion Scheme Based on Mode Decomposition and Evidence Theory for Fault Diagnosis of Drilling Process
Aoxue Yang, Min Wu, Chengda Lu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 2017-2028
Closed Access | Times Cited: 5

Weighted average selective ensemble strategy of deep convolutional models based on grey wolf optimizer and its application in rotating machinery fault diagnosis
Han Zhou, Ping Yan, Qin Huang, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121076-121076
Closed Access | Times Cited: 5

Soft Sensor-based Deep Temporal-Graph Convolutional Network for Applications in Human Motion Tracking
Jingnan Wang, Xiaoyu Li, Yunduan Cui, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 14, pp. 23117-23128
Closed Access | Times Cited: 1

A Review of Physics-Based, Data-Driven, and Hybrid Models for Tool Wear Monitoring
Haoyuan Zhang, Shanglei Jiang, Daqing Gao, et al.
Machines (2024) Vol. 12, Iss. 12, pp. 833-833
Open Access | Times Cited: 1

Advanced Food Contaminant Detection through Multi-Source Data Fusion: Strategies, Applications, and Future Perspectives
Selorm Yao‐Say Solomon Adade, Hao Lin, Nana Adwoa Nkuma Johnson, et al.
Trends in Food Science & Technology (2024), pp. 104851-104851
Closed Access | Times Cited: 1

A Novel Evaluation Metric Based on Dispersion of Wear Distance for In Situ Tool Condition Monitoring
Zhichao You, Shichao Li, Changgen Li, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-10
Closed Access | Times Cited: 7

In-Process Monitoring of Hobbing Process Using an Acoustic Emission Sensor and Supervised Machine Learning
Vivian Schiller, Sandra Klaus, Ali Bilen, et al.
Algorithms (2023) Vol. 16, Iss. 4, pp. 183-183
Open Access | Times Cited: 3

Vibration Signal-Based Tool Condition Monitoring Using Regularized Sensor Data Modeling and Model Frequency Analysis
Zepeng Liu, Zi–Qiang Lang, Yufei Gui, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-13
Open Access | Times Cited: 2

Mdff: Multi-Domain Feature Fusion for Anomaly Recognition
Yuan Xu, Cheng-Shu Ye, Yi Luo, et al.
(2024)
Closed Access

Exploring the Processing Paradigm of Input Data for End-to-End Deep Learning in Tool Condition Monitoring
Chengguan Wang, Guangping Wang, Tao Wang, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5300-5300
Open Access

A systematic quality-integrated diagnostic method for complex product assembly using multi-task spatial–temporal transfer learning
Xun Cheng, Feihong Huang, Linqiong Qiu
The International Journal of Advanced Manufacturing Technology (2024) Vol. 135, Iss. 3-4, pp. 1355-1375
Open Access

MDFF: Multi-Domain feature fusion for anomaly recognition
Yuan Xu, Cheng-Shu Ye, Haiming Niu, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103047-103047
Closed Access

A Hybrid CNN-GRU Approach for Enhanced LOS/NLOS Signal Classification
L Sindhu, Subhalakshmi CT, S Pavithira, et al.
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2024), pp. 1791-1796
Closed Access

Analysis of hob vibration frequency components distribution mechanism of different faults states
Han Zhou, Ping Yan, Alex Q. Huang, et al.
Measurement (2023) Vol. 222, pp. 113645-113645
Closed Access | Times Cited: 1

Physics-Informed Gaussian Mixture Model for Tool Condition Monitoring
Debasish Mishra, Krishna R. Pattipati, George M. Bollas
(2023)
Closed Access | Times Cited: 1

Online unsupervised monitoring for hob wear based on multi-domain vibration features extraction and improved Q-statistic control chart
Han Zhou, Ping Yan, Liguo Zhang, et al.
Measurement (2023) Vol. 226, pp. 114076-114076
Closed Access | Times Cited: 1

A Tool Wear Prediction Model Based on Attention Mechanism and IndRNN
Shaofei Lu, Yajun Zhu, Shen Liu, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2022), pp. 1-7
Closed Access | Times Cited: 2

Online Tool Condition Monitoring Using Unreliable Pseudo-Labels
Yi Sun, Canyu Cai, Hongli Gao, et al.
(2023), pp. 293-299
Closed Access

Identification and Evaluation of Blast Furnace Condition Based on Spatio-Temporal Feature Extraction
Zheyi Zhang, Weihua Cao, Wenshuo Song, et al.
2022 13th Asian Control Conference (ASCC) (2022), pp. 601-606
Closed Access

Tool Monitoring System Using Vibration and Current Signals
Zhennan Wei, Zhenyu Qiu, Qian Huang, et al.
2022 22nd International Conference on Control, Automation and Systems (ICCAS) (2022), pp. 153-157
Closed Access

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